We present MELLE, a novel continuous-valued tokens based language modeling approach for text to speech synthesis (TTS). MELLE autoregressively generates continuous mel-spectrogram frames directly from ...

Every time a language model like GPT-4, Claude or Mistral generates a sentence, it does something deceptively simple: It picks one word at a time. This word-by-word approach is what gives ...

In a world where side hustles and passive income are the new status symbols, Launch Vector is turning heads with a lifestyle-friendly approach to e-commerce investing. The Wyoming-based company offers ...

Abstract: Dynamic multi-objective optimisation (DMO) handles optimisation problems with multiple (often conflicting) objectives in varying environments. This paper proposes vector autoregressive ...

DeepSeek and OpenAI’s o1 models performed the best across the various benchmarks, but all models still struggle in a range of tasks, so there is much more work to be done. AI models are advancing at a ...

One of the core problems with AI is the notoriously high power and computing demand, especially for tasks such as media generation. On mobile phones, when it comes to running natively, only a handful ...

ABSTRACT: To improve the efficiency of air quality analysis and the accuracy of predictions, this paper proposes a composite method based on Vector Autoregressive (VAR) and Random Forest (RF) models.

Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant text through sequential prediction. These LLms excel at handling large datasets and are very strong at ...

The Adobe Firefly Video Model (beta) expands Adobe's family of creative generative AI models and is the first publicly available video model designed to be safe for commercial use Enhancements to ...